A joint power and bandwidth allocation method for dual-layer satellite networks based on beam hopping

Abstract

The present invention provides a dual-layer satellite network power and bandwidth joint allocation method based on beam hopping, determines the input parameters of the proposed allocation method, initializes the beam power, calculates the ideal bandwidth and beam bandwidth, calculates the beam transmission power of the K ground terminals being served, obtains the interference of the GEO satellite corresponding to the LEO satellite beam from the interference database, calculates the total interference of the LEO satellite beam to the GEO satellite, and outputs the beam bandwidth and beam power. The bandwidth and power allocation method of the present invention aims to minimize the difference between supply and demand under interference suppression conditions. The proposed power and bandwidth joint allocation method has two great advantages in terms of minimum communication traffic supply and demand difference and shortest calculation time compared with the two mainstream allocation methods of bandwidth and power average allocation and bandwidth average and power water injection. The present invention ultimately achieves maximum utilization of satellite resources.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology. In a double-layer communication network composed of GEO satellites and LEO satellites, a method for allocating resources on demand based on beam hopping technology is designed, so that the satellite can allocate bandwidth resources according to communication needs under interference threshold restrictions, and then optimize beam power, thereby achieving the purpose of maximizing satellite resource utilization. Background Art

[0002] In satellite communication networks, the traffic demand of ground terminals is extremely unevenly distributed. The fixed ratio of bandwidth and power allocation in traditional multi-beam satellites can easily lead to a mismatch between supply and demand, resulting in a huge waste of communication resources. Satellites using beam-hopping technology can flexibly allocate and utilize resources in multiple dimensions such as time, space, bandwidth, and power, allowing ground terminals to obtain flexible and efficient resource configuration.

[0003] Reference 1 "Y.Li, Z.Luo, W.Zhou and J.Zhu,"Benefits analysis of beam hopping in satellite mobile system with unevenly distributed traffic," China Communications, vol.18, no.9, pp.11-23, Sept.2021." For the case of uneven beams in satellite mobile communication systems, the efficiency of beam hopping was analyzed, and data reference was provided for the application of beam hopping technology and resource allocation.

[0004] Reference 2 "J.Tang, D.Bian, G.Li, J.Hu and J.Cheng,"Resource Allocation forLEO Beam-Hopping Satellites in a Spectrum Sharing Scenario,"IEEE Access, vol.9, pp.56468-56478, 2021." introduces the resource allocation method and research of LEO beam-hopping satellites in spectrum sharing scenarios.

[0005] Reference 3 "P. Zuo, T. Peng, W. Linghu and W. Wang," Resource Allocation for Cognitive Satellite Communications Downlink," IEEE Access, vol. 6, pp. 75192-75205, 2018." Beam hopping technology is used to minimize the difference between supply and demand, and resources are allocated from the time, frequency, power and space dimensions to improve spectrum efficiency and maximize the utilization of satellite resources.

[0006] In summary, in the context of tight spectrum resources, complex network interference, and imbalance in communication traffic supply and demand in double-layer satellite networks, how to allocate resources in multi-dimensional domains and maximize the utilization of satellite resources is a current technical challenge. Summary of the invention

[0007] In order to overcome the shortcomings of the prior art, the present invention provides a dual-layer satellite network power and bandwidth joint allocation method based on beam hopping. The present invention proposes a beam hopping satellite power and bandwidth joint allocation method based on interference suppression. Compared with the two mainstream allocation methods of bandwidth and power average allocation and bandwidth averaging and power water injection, the method has the advantages of minimizing the difference between supply and demand of communication traffic and shortest calculation time. The present invention provides a bandwidth and power allocation method for beam hopping LEO satellites in a dual-layer GEO / LEO satellite network under interference suppression conditions with the goal of minimizing the difference between supply and demand. Compared with the two mainstream allocation methods of bandwidth and power average allocation and bandwidth averaging and power water injection, the proposed power and bandwidth joint allocation method has two huge advantages of minimizing the difference between supply and demand of communication traffic and shortest calculation time.

[0008] The technical solution adopted by the present invention to solve the technical problem comprises the following steps:

[0009] Step 1: Determine the input parameters of the proposed allocation method: LEO satellite total transmit power P tot , total bandwidth B tot , the interference of GEO satellite to K LEO lighted terminals in represents the interference of the GEO satellite to the kth LEO lit terminal. The channel matrix between the LEO satellite and K lit terminals is h = [h1,...,h k …,h K ], where h k represents the channel coefficient of the GEO satellite to the kth LEO light-up terminal, and the traffic demand of K light-up terminals is d=d1,…,d k …,d K , where d krepresents the traffic demand of the GEO satellite to the kth LEO lighting terminal, and the interference threshold of the LEO satellite to the GEO satellite is I TH , the interference database of LEO satellite beams to GEO satellites is leo ;

[0010] Step 2: Initialize beam power P = P1, ..., P k …,P K , where P k is the power of the kth beam. The power of each beam is evenly distributed. The beam power serving terminal k is

[0011] Step 3: According to the terminal's traffic requirements k The calculation formula Finding the ideal bandwidth Wherein the noise power n0 = -117dBW;

[0012] Step 4: Calculate the beam bandwidth B = B1,…,B according to the actual total bandwidth k ,…,B K , where the actual bandwidth allocated to terminal k is

[0013] Step 5: Solve the convex optimization solution parameters of terminal k based on the Larangrange multiplier method

[0014] Step 6: Solve for the Larangrange multipliers

[0015] Step 7: Calculate the beam transmission power P = P1, ..., P of the K ground terminals being served K , where the power allocated to terminal k is "+" means the value is non-negative;

[0016] Step 8: According to the beam width B k and power P k Obtain the interference of the GEO satellite corresponding to the LEO satellite beam k from the interference database

[0017] Step 9: Calculate the total interference from the LEO satellite beam to the GEO satellite

[0018] Step 10: Determine the interference of LEO satellite beam to GEO satellite I leo Whether the interference threshold I is exceeded TH , if I leo >I TH , go to step 11, if I leo ≤I TH, go to step 12;

[0019] Step 11: Reduce the total power P tot =P tot ×α, where α is the power reduction factor, so 0<α<1, and the power is reduced and returns to step 2;

[0020] Step 12: Output beam width B = B1,…,…,B K and beam power P = P1,…,P K .

[0021] The total LEO satellite transmission power P tot It is 20dbW~30dbW.

[0022] The total bandwidth B tot =500Mhz.

[0023] When any lit terminal k obtains LEO beam service, according to the interference of GEO satellite to K LEO lit terminals It can be seen that the interference of GEO to the kth LEO lighting terminal is It is: -125dbW~-95dbW.

[0024] The channel coefficient h k 0.5~1;

[0025] The ground terminal requires k 0.1Gbps~1.1Gbps.

[0026] The number K of LEO satellite lit terminals is 4-16.

[0027] The interference threshold I TH Set to -115dbW~-100dbW.

[0028] The interference database i leo Interference value of LEO satellite beam k to GEO satellite It is -125dbW~-95dbW.

[0029] The beneficial effect of the present invention is that under the background of the shortage of spectrum resources in the double-layer satellite network, the complex network interference situation, the imbalance of communication traffic supply and demand, etc., the present method allocates bandwidth according to communication demand, and then optimizes the beam power, and finally maximizes the use of satellite resources. Compared with the two mainstream allocation methods of bandwidth and power average allocation and bandwidth average and power water injection, the power and bandwidth joint allocation method proposed in the present invention has the two great advantages of minimizing the difference between communication traffic supply and demand and minimizing the calculation time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the double-layer GEO / LEO satellite network and ground communication model of the present invention.

[0031] Figure 2 Comparison of ground terminal supply and demand differences based on the proposed allocation method in this invention

[0032] Figure 3 This is a comparison chart of the supply-demand difference between the allocation method proposed in the present invention and two mainstream allocation methods, namely bandwidth averaging and power water injection allocation. DETAILED DESCRIPTION

[0033] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0034] In the dual-layer GEO / LEO satellite network proposed in the present invention, both GEO and LEO satellites communicate with ground terminals, GEO satellites use traditional beam mode, and LEO satellites use beam hopping technology. The present invention proposes a bandwidth and power allocation method for LEO satellites under interference suppression conditions with the goal of minimizing the difference between supply and demand, which mainly includes the following steps:

[0035] Step 1: Determine the input parameters of the proposed allocation method: LEO satellite total transmit power P tot , total bandwidth B tot , the interference of GEO satellite to K LEO lighted terminals in represents the interference of the GEO satellite to the kth LEO lit terminal. The channel matrix between the LEO satellite and K lit terminals is h = [h1,…,h k ,h K ], where h k represents the channel coefficient of the GEO satellite to the kth LEO light-up terminal, and the traffic demand of K light-up terminals is d=d1,…,d k …,d K , where d k represents the traffic demand of the GEO satellite to the kth LEO lighting terminal, and the interference threshold of the LEO satellite to the GEO satellite is I TH , the interference database of LEO satellite beams to GEO satellites is leo ;

[0036] Among them, the total transmission power of LEO satellite is P tot : 30dbW, total bandwidth B tot =500Mhz, when any terminal k is lit up to receive LEO beam service, GEO interferes with it -125dbW~-95dbW, channel coefficient h k :0.5~1, ground terminal demand d k:0.1Gbps~1.1Gbps. Number of LEO satellite lit terminals K:16, interference threshold I TH To set -115dbW, the interference value of LEO satellite beam k to GEO satellite in interference database I is -125dbW~-95dbW.

[0037] Step 2: Initialize beam power P = P1, ..., P K , where P k is the power of the kth beam. The power of each beam is evenly distributed. The beam power serving terminal k is

[0038] Step 3: According to terminal requirements k and formula Finding the ideal bandwidth Wherein the noise power n0 = -117dBW.

[0039] Step 4: Calculate the beam bandwidth B = B1,…,B according to the actual total bandwidth K , where the actual bandwidth allocated to terminal k is

[0040] Step 5: Solve the convex optimization solution parameters of terminal k based on the Larangrange multiplier method

[0041] Step 6: Solve for the Larangrange multipliers

[0042] Step 7: The beam transmission power of the K ground terminals being served is P = P1, ..., P K , where the power allocated to terminal k is "+" means the value is non-negative.

[0043] Step 9: According to the beam width B k and power P k Obtain the interference of LEO satellite beam k to GEO satellite from the interference database

[0044] Step 10: Calculate the total interference from the LEO satellite beam to the GEO satellite

[0045] Step 10: Determine the interference of LEO satellite beam to GEO satellite I leo Whether the interference threshold I is exceeded TH , if I leo >I TH , go to step 11, if I leo ≤I TH , go to step 12.

[0046] Step 11: Reduce the total power P tot =P tot ×α, where α is the power reduction factor, set α=0.9, and return to step 2.

[0047] Step 12: Output beam width B = B1,…,B K and beam power P = P1,…,P K .

[0048] In a dual-layer GEO / LEO satellite network, this method allocates bandwidth according to communication needs, thereby optimizing beam power and ultimately maximizing satellite resources. Compared with the two mainstream allocation methods of bandwidth and power average allocation and bandwidth average and power water injection, the power and bandwidth combined allocation method proposed in this invention has two great advantages: the smallest communication flow supply and demand difference and the shortest calculation time.

[0049] In the existing satellite communication network, Figure 1 The dual-layer GEO / LEO satellite communication network model is more realistic and more comprehensive in the application of satellite technology. Figure 2 The comparison of the supply and demand difference of ground terminals based on the allocation method proposed in the present invention is given in FIG. From the figure, it can be intuitively seen that the proposed method can achieve refined on-demand allocation. Figure 3 Table 1 compares it with the other two mainstream allocation methods in terms of supply-demand gap and calculation speed.

[0050] Table 1 Comparison of calculation time of three allocation methods

[0051]

[0052] By comparison, the performance of the average allocation method is significantly inferior to the other two methods, and it cannot fully meet the principle of allocation on demand, resulting in a large amount of resource waste. Compared with bandwidth average and power water injection allocation, the method proposed in the present invention has a slight advantage in supply-demand performance, and also has obvious advantages in operating speed.

Claims

1. A dual-layer satellite network power and bandwidth joint allocation method based on beam hopping, characterized in that The steps include: Step 1: Determine the input parameters of the proposed allocation method: LEO satellite total transmit power P tot , total bandwidth B tot , the interference of GEO satellite to K LEO lighted terminals in represents the interference of the GEO satellite to the kth LEO lit terminal. The channel matrix between the LEO satellite and K lit terminals is h = [h1, ..., h k …,h K ], where h k represents the channel coefficient of the GEO satellite to the kth LEO lit terminal, and the traffic demand of K lit terminals is d = d1, ..., d k …, d K , where d k represents the traffic demand of the GEO satellite to the kth LEO lighting terminal, and the interference threshold of the LEO satellite to the GEO satellite is I TH , the interference database of LEO satellite beam to GEO satellite is i leo ; Step 2: Initialize beam power P = P1, ..., P k …, P K , where P k is the power of the kth beam. The power of each beam is evenly distributed. The beam power serving terminal k is Step 3: According to the terminal's traffic requirements k The calculation formula Finding the ideal bandwidth Wherein the noise power n0 = -117dBW; Step 4: Calculate the beam bandwidth B = B1, ..., B according to the actual total bandwidth k , …, B K , where the actual bandwidth allocated to terminal k is Step 5: Solve the convex optimization solution parameters of terminal k based on the Larangrange multiplier method Step 6: Solve for the Larangrange multipliers Step 7: Calculate the beam transmission power P of the K ground terminals being served = [P1, ..., P K ], where the power allocated to terminal k is "+" means the value is non-negative; Step 8: According to the beam width B k and power P k Obtain the interference of the GEO satellite corresponding to the LEO satellite beam k from the interference database Step 9: Calculate the total interference from the LEO satellite beam to the GEO satellite Step 10: Determine the interference of LEO satellite beam to GEO satellite I leo Whether the interference threshold I is exceeded TH , if I leo >I TH , go to step 11, if I leo ≤I TH , go to step 12; Step 11: Reduce the total power P tot =P tot ×α, where α is the power reduction factor, so 0<α<1, and after the power is reduced, return to step 2; Step 12: Output beam width B = B1, ..., B K and beam power P = P1, ..., P K .

2. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The total LEO satellite transmission power P tot It is 20dbW~30dbW.

3. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The total bandwidth B tot =500Mhz.

4. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: When any lit terminal k obtains LEO beam service, according to the interference of GEO satellite to K LEO lit terminals It can be seen that the interference of GEO to the kth LEO lighting terminal is It is: -125dbW~-95dbW.

5. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The channel coefficient h k It is 0.5~1.

6. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The ground terminal requires k 0.1Gbps~1.1Gbps.

7. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The number K of LEO satellite lit terminals is 4-16.

8. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The interference threshold I TH Set to -115dbW~-100dbW.

9. The beam-hopping-based dual-layer satellite network power and bandwidth joint allocation method according to claim 1, characterized in that: The interference database i leo Interference value of LEO satellite beam k to GEO satellite It is -125dbW~-95dbW.

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